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AI Glossary

Knowledge Graph

A structured representation of relationships between entities used to enhance AI reasoning.

TL;DR

  • —A structured representation of relationships between entities used to enhance AI reasoning.
  • —Understanding Knowledge Graph is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Knowledge graphs organize information into entities and relationships, enabling AI systems to reason about connections between concepts. In enterprise settings, knowledge graphs can represent organizational structure, product relationships, customer networks, and domain expertise.

Related Terms

Retrieval-Augmented Generation (RAG)

A technique that grounds AI responses in retrieved documents to improve accuracy and reduce hallucinations.

Embedding

A numerical vector representation of text that captures semantic meaning for AI processing.

Vector Database

A database optimized for storing and querying high-dimensional vector embeddings for AI applications.

Large Language Model (LLM)

A deep learning model trained on vast text datasets that can understand and generate human-like text.

Knowledge Hub

Glossary FAQs

Knowledge Graph is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage a structured representation of relationships between entities used to enhance ai reasoning.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Knowledge Graph through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Retrieval-Augmented Generation (RAG) and Embedding.

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